World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
100
Citations
55697
World Ranking
745
National Ranking
13

Henry Markram publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Henry Markram sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 275 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Henry Markram D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Henry Markram sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 100 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Henry Markram is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans a broad range of topics within neuroscience and related fields, with a focus on understanding neural dynamics and brain function.

Markram has contributed extensively to several main fields of study including:

  • Neuroscience
  • Biochemistry, Genetics and Molecular Biology

Their work also extends deeply into several subfields such as:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Biophysics
  • Neurology

Topics commonly addressed in Markram's research encompass:

  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Cell Image Analysis Techniques
  • Neuroscience and Neural Engineering
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Functional Brain Connectivity Studies
  • Electrochemical Analysis and Applications

Some of their recent research papers include:

  • A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex, 2022, Nature Communications
  • Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex, 2022, Cerebral Cortex
  • Digital Reconstruction of the Neuro-Glia-Vascular Architecture, 2021, Cerebral Cortex
  • A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19, 2021, Frontiers in Public Health
  • Impact of higher order network structure on emergent cortical activity, 2020, Network Neuroscience

Frequent co-authors include:

  • Daniel Keller
  • Werner Van Geit
  • Eilif Müller
  • Michael Reimann
  • James King

Markram's publications have appeared in these venues multiple times:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • PLoS Computational Biology
  • Nature Communications

Best Publications

  • Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs

    Henry Markram;Joachim Lübke;Michael Frotscher;Bert Sakmann

  • Real-time computing without stable states: a new framework for neural computation based on perturbations

    Wolfgang Maass;Thomas Natschläger;Henry Markram

  • Interneurons of the neocortical inhibitory system.

    Henry Markram;Maria Toledo-Rodriguez;Yun Wang;Anirudh Gupta

  • The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability

    Misha V. Tsodyks;Henry Markram

  • The blue brain project

    Henry Markram

  • Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex

    Giorgio A. Ascoli;Lidia Alonso-Nanclares;Stewart A. Anderson;German Barrionuevo

  • Reconstruction and Simulation of Neocortical Microcircuitry

    Henry Markram;Henry Markram;Eilif Muller;Srikanth Ramaswamy;Michael W. Reimann

  • Differential signaling via the same axon of neocortical pyramidal neurons

    Henry Markram;Yun Wang;Misha Tsodyks

  • Organizing Principles for a Diversity of GABAergic Interneurons and Synapses in the Neocortex

    Anirudh Gupta;Yun Wang;Henry Markram

  • Neural networks with dynamic synapses

    Misha Tsodyks;Klaus Pawelzik;Henry Markram

  • Redistribution of synaptic efficacy between neocortical pyramidal neurons

    Henry Markram;Misha Tsodyks

  • Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex.

    Henry Markram;Joachim H. R. Lübke;Michael Frotscher;Arnd Roth

  • New insights into the classification and nomenclature of cortical GABAergic interneurons

    Javier DeFelipe;Pedro L. López-Cruz;Ruth Benavides-Piccione;Ruth Benavides-Piccione;Concha Bielza

  • Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells.

    Gilad Silberberg;Gilad Silberberg;Henry Markram

  • A synaptic organizing principle for cortical neuronal groups

    Rodrigo Perin;Thomas K. Berger;Henry Markram

  • Ephaptic coupling of cortical neurons

    Costas A Anastassiou;Costas A Anastassiou;Rodrigo Perin;Henry Markram;Christof Koch;Christof Koch

  • The intense world theory - a unifying theory of the neurobiology of autism.

    Kamila Markram;Henry Markram

  • Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts

    Giada Cellot;Emanuele Cilia;Emanuele Cilia;Sara Cipollone;Vladimir Rancic

  • Heterogeneity in the pyramidal network of the medial prefrontal cortex

    Yun Wang;Henry Markram;Philip H Goodman;Thomas K Berger

  • Anatomical, physiological and molecular properties of Martinotti cells in the somatosensory cortex of the juvenile rat

    Yun Wang;Maria Toledo-Rodriguez;Maria Toledo-Rodriguez;Anirudh Gupta;Anirudh Gupta;Caizhi Wu

Frequent Co-Authors

Gilad Silberberg
Gilad Silberberg Karolinska Institute
Idan Segev
Idan Segev Hebrew University of Jerusalem
Misha Tsodyks
Misha Tsodyks Weizmann Institute of Science
Wolfgang Maass
Wolfgang Maass Graz University of Technology
Javier DeFelipe
Javier DeFelipe Technical University of Madrid
Wulfram Gerstner
Wulfram Gerstner École Polytechnique Fédérale de Lausanne
Michele Giugliano
Michele Giugliano University of Modena and Reggio Emilia
Menahem Segal
Menahem Segal Weizmann Institute of Science
Michele Migliore
Michele Migliore National Academies of Sciences, Engineering, and Medicine
Bert Sakmann
Bert Sakmann Max Planck Society

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